Alternatives and similar repositories for awesome-nonconvex-optimization:

Users that are interested in awesome-nonconvex-optimization are comparing it to the libraries listed below

• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆15Updated 5 years ago
• gpeyre / 2021-NonCvxPro
  ☆11Updated 3 years ago
• MatOpt / QSDPNAL
  A MATLAB software for convex quadratic semidefinite programming
  ☆13Updated 4 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆20Updated 4 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆44Updated 5 months ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• ZhiminPeng / Jacobi-ADMM
  Parallel Multi-Block ADMM with o(1/k) Convergence
  ☆14Updated 9 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆47Updated 3 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 5 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated last year
• xhchrn / MS4L2O
  ☆10Updated last year
• HxSun08 / Alt-Diff
  ☆25Updated last year
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 5 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆37Updated 5 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆59Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 4 years ago
• HarlinLee / nonconvex-GTF-public
  Code for nonconvex graph trend filtering
  ☆10Updated 2 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆73Updated 4 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆47Updated 3 years ago
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 4 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• ntienvu / MiniBO
  Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
  ☆15Updated 2 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆90Updated 4 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated 11 months ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year